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HPC-BIO 2017 : Advances in High-Performance Bioinformatics, Systems and Synthetic Biology | |||||||||||||||
Link: http://www.pdp2017.org/bioinformatics.html | |||||||||||||||
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Call For Papers | |||||||||||||||
The computational approach to biology is dealing with an enormous availability of data and an extreme complexity in the modelling and analysis of life systems. Both these issues make the scaling-up promise of High Performance Computing extremely appealing. Currently, the possibility of parallelising algorithms and analysis techniques exploiting the various HPC emerging frameworks is receiving a lot of interest. Examples include the porting of legacy applications to clusters, e.g. those for genome analysis, and the use of distributed technologies, cloud computing, on-chip supercomputing, GPGPUs, low-power integrated devices and massively parallel architectures for the treatment of high-throughput data-sets (e.g. Xeon Phi implementations). Arguably, HPC will turn out to be an unifying aspect of the future integration of Bioinformatics, Systems and Synthetic Biology.
The aim of this special session is to present the latest efforts in HP Computational Biology and to foster the integration of researchers interested in HPC and Computational Biology. **** TOPICS **** -Algorithms for genomics and proteomics -DNA/RNA assembly and mapping -Tools for NGS data analysis -Approaches for Structutal bioinformatics -Bio-Molecular sequence analysis -Gene identification and annotation -SNP analysis and classification -Differential gene expression analysis -Machine learning for Bioinformatics -Clustering techniques for biological data -Phylogeny reconstruction algorithms -Biological databases for big data management -Modelling and simulation of biological systems -Automated verification in Computational Biology -Virtual labs and Portals for biosystem simulations -HPC-based approaches in Synthetic Biology -DNA-based biological circuits simulations -Modelling of structural protein properties -Parallel architectures for Computational Biology -System infrastructures Biologicla Data analysis **** SUBMISSION OF PAPERS **** Prospective authors should submit a full paper not exceeding 8 pages in the Conference proceedings format ( double-column, 10pt) through the EasyChair conference submission system (http://www.easychair.org/conferences/?conf=pdp2017). Double-bind review: the paper should not contain authors names and affiliations; in the reference list, references to the authors' own work entries should be substituted with the string "omitted for blind reviewā€¯. Publication: All accepted papers will be included in the same volume, published by the Conference Publishing Services (CPS). The Final Paper Preparation and Submission Instructions will be published after the notification of acceptance. Authors of accepted papers are expected to register and present their papers at the Conference. Conference proceedings will be submitted to IEEE explore, CDSL, and for indexing among others, to DBLP, Scopus ScienceDirect, and ISI Web of Knowledge. |
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